By Topic

Enhanced Skin Detection Technique Using Block Matching

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kaabneh, K. ; Coll. of Comput. Studies, Amman Arab Univ. for Grad. Studies, Amman ; Abu-Hammad, E. ; Hamd, F.

Skin detection represents a challenge in recent years, due to the fact that imaging conditions and illumination factor affect the resulted image. In addition, human skin color has a wide range making it a tedious task to target and extract. This paper addresses a novel method to detect skin in still images. The detection approach is based on five face detection models with integral modifications to increase detection rate in those models. Our hybrid skin detection method is used to detect skin regions in images using a block matching technique integrated over the resulted map of each model to pick the most frequent block as the final result. The hybrid model produced a better result in reference to the overall skin recall and precision values when tested on a single and multiple subjects in an image.

Published in:

Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on

Date of Conference:

24-27 Nov. 2007